abstract = "The simulation of a jet engine behaviour is widely
used in many different aspects of the engine
development and maintenance. Achieving high quality jet
engine control systems requires the iterative use of
these simulations to virtually test the performance of
the engine avoiding any possible damage on the real
engine. Jet engine simulations involve the use of
mathematical models which are complex and may not
always be available. This paper introduces an approach
based on Genetic Programming (GP) to model different
parameters of a small engine for control design such as
the Exhaust Gas Temperature (EGT). The GP approach has
no knowledge of the characteristics of the engine.
Instead, the model is found by the evolution of models
based on past measurements of parameters such as the
pump voltage. Once the model is obtained, it is used to
predict the behaviour of the jet engine one step ahead.
The proposed approach is successfully applied for the
simulation of a Behotec j66 jet engine and the results
are presented.",

notes = "Control of model aircraft jet engines. Constructing a
model sufficient for control design. Fitness from
difference between GP output and real measurement per
training point plus tree size penalty. tournament size
20. Three models of different aspects of engine. Cited
by \cite{EnriquezZarate:2017:ASC}.